Italy vs Mexico

Italy vs Mexico: Tropical nights

Tropical nights in 2014: 26.3 nights in Italy and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 77.4 nights, or 3.95 times that in Italy.

nights a year · CMIP6

Italy vs Mexico: Tropical nightsTropical nights in 2014: 26.3 nights in Italy and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 77.4 nights, or 3.95 times that in Italy.
ItalyMexicoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Mexico has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Italy at 65.1 nights and Mexico at 142.8 nights in 2100.

Every year

nights a year · CMIP6

YearItalyMexico
201426.3103.7
201324.7103.9
201224.8102.8
201124.6102.9
201027.1101.5
200923.7101.8
200824.1100.1
200721.599.1
200624.699.8
200522.599.5
200424.599.4
200323.898.3
200220.699.1
200120.898.7
200021.797.9
199920.396.6
199818.995.8
199718.995.9
199618.993.8
199517.992.7
199417.490.7
199316.389
199215.188.5
19911893.4
199018.294.9
198916.693
198815.592.1
19871692
19861590.2
198514.590
198415.788
198315.386.7
198214.188.7
198115.391.5
198015.990.1
197914.590.8
197816.589
197713.589
197613.889.1
19751486.8
197414.887.9
197313.588.6
197213.787.7
197115.386.8
19701486.1
196914.587.5
196813.887.1
196713.686.7
196613.286.4
196512.884.9
196413.284.7
196314.287.1
196215.588
196113.989.5
196014.989.7
195916.689.6
195814.489.1
195715.589
195616.788.5
195516.688.2
195415.788.4
195315.488.6
195216.687.8
19511689.4
195015.388.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearItalyMexico
20153021.7–40.4106.192.9–118.4
201629.618–42.2107.695–120
201731.820.2–43.7108.696.3–119.7
20183122–44.310997.1–120.4
201931.521.3–43.2110.396.4–123
202031.619.7–44.3109.696.8–121.8
20213420.8–46.9111.296.9–124.1
202237.121.3–50.6109.796–121.7
202333.121.3–47.4111.898.6–125.3
202435.521.6–48.4112.298.2–126.2
202537.720.5–51.111298.8–125.8
202638.926.6–52.2113.999.5–126.4
202734.322.4–49.7112.999.5–128.3
202837.724.4–53.1115.2101.9–127.9
202937.824.9–55115.6101.9–127.9
203037.925.7–54.7115.9101.7–128.4
203137.223.8–51116.1100.9–129.9
203239.226.2–53.8116.1102.5–129.1
203340.426–50.3117.5102.5–131.1
203442.525.1–57.2117.2104.1–130.3
203542.728.9–58.3116.4103.1–130.3
203641.127.7–59.9117.8105.1–131
20374328.1–54.8118.6104.3–131.7
203841.628.5–61.3121107.5–133.4
20394129.4–56.4121.3107–135.6
204042.428.1–59.1121.9108.1–135.1
204141.927.2–58.7121.3105.3–134.6
204243.529.6–59122.7107.7–137.1
20434528.7–59.5122.4108.1–137.5
204444.929.4–59.9121.9108–135.6
204545.230.3–59.2123.1108.8–139.2
20464627.3–62.4123.8109.9–139.4
204749.132.4–63.6125.6111.9–139.4
204846.228.3–65.7126.3113–140.3
204948.229.5–65.7127111.2–140.8
205049.536.4–64.4128.1112.6–142.5
205148.831.6–68.3127.2113.4–140.8
205250.330.9–68.1126.2112.5–141.1
205348.235.9–67128.4111.5–142.7
205449.435.3–66.1128.1113.1–142.3
205552.233.7–67.7129114.4–144.7
205650.836.2–71.6129.5114.3–143.8
205750.232.8–65.6130.3113.5–145.9
205855.337.5–70.8128.8114.1–144.5
205951.934.5–74.1129.5114.5–144.5
206052.938.2–68.1131.4115.5–146.5
206154.338.3–69.8131.3118.4–146.8
206253.936.9–69130.8115.1–146.3
206356.437.6–72.1131.2115.6–147.9
206455.938.5–71.3132.2116.5–147.8
20655537.3–73.3133.1115.8–148.6
206653.935.8–73.8133.3117.2–149.4
206761.141.2–76.6133.3117–150.3
206856.241.7–73134.6117.4–150.5
206958.741.8–73134.4117.8–150.9
207055.738.9–74.4134.2116.7–151.8
207159.637.8–76.6136.3120.8–152.7
207259.643.5–74.6137.2119.9–153.1
207356.939.4–71.6136.1119.1–153.6
207454.836.7–73.7136119.7–152.2
207556.941.8–75.4135.2118.5–151.8
207659.941.9–77.7136.3117.4–154.7
207757.437.9–74.1136.8119.6–152.8
207860.540.5–80.7137.1118.3–154.2
207960.637.1–83.3138.1121.3–157.1
208059.743.1–78137.6120.5–157.9
20815943.7–78.9137.8120.7–154.7
208263.945.5–80.2138.7121.6–155.2
208360.842–79.7139.2119.3–158.8
208462.547.3–82.1140.3123.4–157.5
208565.246.3–79139.2120.9–157.2
208664.445.6–80.1139.8121–157.8
208763.743.8–84139.5121.5–157.4
208867.247.4–84.4141121.8–159.9
208964.546–82.9140.4121.7–158.9
209065.842.8–80.5141.2123–160.7
209166.745.3–84.7141.8123–161.6
209264.838.5–82.3141.3122.5–159.3
209363.644.7–83141.4124.3–161
209462.445–82142123.3–159.6
20956643.6–83.5143.5124–160.7
20966542.9–85.8142.3125–161.3
209765.844.9–84.4141.2123.2–160
209864.647.9–84.2142.2122.5–162
209967.742.2–81.9141.8122.4–160.7
210065.142.5–83.2142.8124.3–160.8

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

Italy vs Mexico

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment